Machine learning (ML) can provide unique analytical insights, as well as help automate some operational and decision-making processes more efficiently and effectively than non-ML alternatives. However, ML is also among the buzziest of buzzwords, and many are overselling and oversimplifying its usage. 

Do not let anyone frame a data analysis, business problem, or process improvement as an ML use case. Instead, say: That is Not Machine Learning — that is a data analysis, business problem, or process improvement where ML might be able to help. But not before we evaluate other options. And with the understanding that ML is rarely going to be either the first or only aspect of the solution. 

 

This episode is sponsored by: Vertica.com 

 

Extended Show Notes: ocdqblog.com/dbp 

 

Follow Jim Harris on Twitter: @ocdqblog 

 

Email Jim Harris: ocdqblog.com/contact 

 

Other ways to listen: bit.ly/listen-dbp

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Data wydania: 21.07.2022, 19:09:40